PolicyEngine / PolicyEngine/policyengine-scorecard
Reform-score adapters (mode 2: deltas, not levels)
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- Dominant language
- Python
- Stars
- 0
- Forks
- 0
- Avg merge
- 6d 12h
- Merged PRs (30d)
- 32
Description
Run reform pairs on the certified artifact; compare scores. Ledger already carries JCT reform facts (populace reform validation uses them — calibration_relationship: consumed for those; held_out for new ones).
- JCT tax expenditures + revenue estimates
- CBO cost estimates (per-bill lanes)
- TPC distribution tables
- Tax Foundation
- PWBM
- Yale Budget Lab
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No files or tests are named. Start by locating the certified-artifact scoring entry point and the Ledger's existing JCT reform facts, then trace how calibration_relationship marks consumed versus held_out data. Done means reform-pair score deltas are compared for JCT, CBO, TPC, Tax Foundation, PWBM, and Yale Budget Lab analyses.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- analytics, data
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 45/100